Sensor Specialisation Continued to Define the Sensing Layer
Relationship to Annual Outlook: Strengthens the Outlook


Summary
Evidence early in 2022 strongly supports the view that industrial vision is becoming more application-specific at the sensing layer. SWIR, hyperspectral, polarization, RGB-IR, global shutter and infrared imaging appear repeatedly across research, commercialization and application evidence.
Supporting Evidence
Evidence Base
2 Jan 2022 — EU Autovision Collaboration Targets Graphene SWIR Sensor for Automotive Applications
https://image-sensors-world.blogspot.com/2022/01/eu-autovision-collaboration-targets.html13 Jan 2022 — Emberion Raises €6 Million to Accelerate Infrared Imaging Business Growth
https://www.vision-systems.com/cameras-accessories/article/14223670/emberion-raises-6-million-to-accelerate-infrared-imaging-business-growth25 Jan 2022 — Hyperspectral Imaging Gauges Salmon Maturation for Fish Farming
https://www.vision-systems.com/non-factory/article/14213533/hyperspectral-imaging-gauges-salmon-maturation-for-fish-farming31 Jan 2022 — Blackfly S with On-Sensor Polarimetry
https://www.vision-systems.com/cameras-accessories/article/14232956/blackfly-s-with-on-sensor-polarimetry
Why It Matters
This reinforces that AI does not replace sensing constraints. Industrial vision is becoming a stack in which sensing choices determine what AI and software can reliably interpret.
Technology Themes
SWIR, Hyperspectral Imaging, Polarization, Sensor Architecture, Infrared Imaging
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